Tech Weekly Briefing

Generate weekly tech news briefings from 6 major English tech media sources (TechCrunch, The Verge, Wired, Ars Technica, MIT Technology Review, The Information). Aggregates news from the past 7 days, identifies hot stories covered by multiple outlets (2 or more media sources), and creates a curated report in the user's preferred language. Features automated daily RSS fetching, intelligent deduplication, low-quality content filtering, and interactive company-based navigation. Use when users request tech weekly briefing, 科技周报, 外媒科技新闻, weekly tech report, or want to monitor English tech media coverage with multi-source verification.

Tech Weekly Briefing Skill

Generate comprehensive weekly tech news briefings from major English-language technology media sources with structured format and interactive navigation.

Core Principle

Data Integrity First: Never fabricate data. All market data and news must be fetched from actual sources before generating reports.

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Media Sources

Primary Sources (Active)

Source	RSS URL	Status	Fetch Method
TechCrunch	https://techcrunch.com/feed/	✅ Active	urllib
The Verge	https://www.theverge.com/rss/index.xml	✅ Active	urllib
Wired	https://www.wired.com/feed/rss	✅ Active	urllib
Ars Technica	https://arstechnica.com/feed/	✅ Active	urllib
MIT Technology Review	https://www.technologyreview.com/feed/	✅ Active	urllib
The Information	https://www.theinformation.com/feed	✅ Active	curl (bypasses 403)

Secondary Sources (Configured, To Verify)

Source	Status	Note
Axios	⚠️ Configured	Needs verification
Bloomberg Tech	⚠️ Configured	May have paywall
Reuters Tech	⚠️ Configured	Needs verification
WSJ Tech	⚠️ Configured	Paywall likely

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Data Collection Workflow

Step 1: Daily Data Fetch (Every Day at 00:00)

Command:

bash

cd ~/.openclaw/workspace-group/skills/tech-weekly-briefing && python3 scripts/generate-briefing.py daily

What it does:

1. Fetches RSS feeds from all 6 primary sources
2. Filters low-quality content (promotions, sports, lifestyle)
3. Deduplicates articles by title/URL similarity
4. Saves to data/articles_YYYY-MM-DD.json

Cron Setup:

bash

# Add to crontab
crontab -e

# Add this line for daily fetch at 00:00:
0 0 * * * cd ~/.openclaw/workspace-group/skills/tech-weekly-briefing && python3 scripts/generate-briefing.py daily >> /tmp/tech-weekly-cron.log 2>&1

Step 2: Weekly Report Generation (Every Saturday 09:00)

Command:

bash

cd ~/.openclaw/workspace-group/skills/tech-weekly-briefing && python3 scripts/generate-briefing.py weekly

What it does:

1. Loads articles from past 7 days
2. Aggregates similar stories across sources
3. Identifies hot news (≥2 media coverage)
4. Categorizes by company mentions
5. Generates formatted report
6. Saves to /tmp/tech-weekly-briefing-YYYYMMDD.txt

Cron Setup:

bash

# Every Saturday at 09:00 Beijing Time
0 9 * * 6 cd ~/.openclaw/workspace-group/skills/tech-weekly-briefing && python3 scripts/generate-briefing.py weekly >> /tmp/tech-weekly-cron.log 2>&1

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Report Format Specification

Structure (4 Sections)

text

📊 外媒科技周报 | YYYY-MM-DD

1️⃣ 概览 (Overview) - Chinese only
2️⃣ 🔥 热点新闻 (Hot News) - English titles, all source links
3️⃣ 🚗 Robotaxi Weekly - All autonomous driving news
4️⃣ [Inline Buttons] - Company categorization

Section 1: 概览 / Overview

Language: Chinese only Content: One paragraph summarizing ALL hot news stories Format:

text

📈 概览
本周扫描X家科技媒体，获取X篇文章，聚类为X条独特新闻。
X条热点新闻被≥2家媒体报道：[①news summary; ②news summary; ③news summary; ④news summary]

Section 2: 🔥 热点新闻 / Hot News

Criteria: Stories covered by ≥2 media outlets Language: English titles only (no Chinese translation in body) Format:

text

🔥 热点新闻（按媒体报道数倒序）

1️⃣ [English Title]
📰 X家：
• Source1: https://link1
• Source2: https://link2
• Source3: https://link3

2️⃣ [English Title]
📰 X家：
• Source1: https://link1
• Source2: https://link2

Requirements:

• All source links must be clickable
• Listed by coverage count (descending)
• Maximum 20 hot news items

Section 3: 🚗 Robotaxi Weekly

Scope: All autonomous driving news (not just ≥2 coverage) Keywords: robotaxi, waymo, zoox, aurora, cruise, autonomous, self-driving Format:

text

🚗 Robotaxi Weekly / 自动驾驶一周汇总

1. [Title]
   📰 Source | 🔗 https://link

2. [Title]
   📰 Source | 🔗 https://link

Section 4: Inline Buttons

Layout:

text

[🔴 OpenAI (X篇)] [🟣 Anthropic (X篇)]
[🔵 Google (X篇)] [🍎 Apple (X篇)]
[🟢 NVIDIA (X篇)] [🚗 Waymo]
[📋 查看全部]

Companies Tracked:

• OpenAI, Anthropic, Google, Apple, Microsoft, Amazon, Meta
• Tesla, NVIDIA, Waymo, Zoox, Aurora, Cruise
• Nintendo, Sony, Netflix, Block, Robinhood

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Content Validation Rules

Rule 1: No Fabricated Data

MUST:

• Execute fetch commands before generating reports
• Use actual fetched data only
• Mark missing data as [获取失败] if command fails

NEVER:

• Fill in prices/percentages without executing commands
• Use cached data as real-time without timestamp
• Guess or estimate any numeric values

Rule 2: Accurate Source Attribution

MUST:

• Every news item must have source link(s)
• Multi-source stories must list ALL sources
• Use actual URLs from RSS, not generated links

Rule 3: Deduplication

Algorithm:

1. Jaccard similarity ≥ 18% on title keywords
2. OR exact 3+ consecutive word match
3. Remove duplicates, keep earliest published

Rule 4: Low-Quality Filtering

Filtered Content:

• Sports: "baseball game", "championship", "tournament"
• Promotions: "promo code", "% off", "coupon", "discount"
• Shopping: "mattress firm", "kitchenaid promo", "norton coupon"
• Lifestyle: "bird-watchers", "brew coffee", "sleep week deals"

Logged: All filtered items printed during daily fetch

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Manual Operations

Check Data Collection Status

bash

# View today's collected articles
ls -la ~/.openclaw/workspace-group/skills/tech-weekly-briefing/data/

# Check article count
python3 -c "import json; data=json.load(open('data/articles_$(date +%Y-%m-%d).json')); print(f'{len(data)} articles today')"

Verify Media Source

bash

# Test RSS accessibility
curl -s "https://techcrunch.com/feed/" | head -5
curl -s -A "Mozilla/5.0" "https://www.theinformation.com/feed" | head -5

Force Re-fetch Today

bash

rm ~/.openclaw/workspace-group/skills/tech-weekly-briefing/data/articles_$(date +%Y-%m-%d).json
python3 scripts/generate-briefing.py daily

Generate Test Report

bash

# Use existing data to generate report
python3 scripts/generate-briefing.py weekly

# View output
cat /tmp/tech-weekly-briefing-$(date +%Y%m%d).txt

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Troubleshooting

The Information Returns 403

Cause: Python urllib blocked, curl works Solution: Script automatically uses curl subprocess for The Information Verify:

bash

curl -s -A "Mozilla/5.0" "https://www.theinformation.com/feed" | head -10

No Articles Found

Check:

1. Data directory: ls data/
2. Last fetch: cat /tmp/tech-weekly-cron.log
3. RSS status: blogwatcher blogs

Duplicate Articles in Report

Cause: Similarity threshold too low or high Adjust: Edit is_same_news() function in generate-briefing.py

Missing Company in Buttons

Add Company:

1. Edit COMPANY_KEYWORDS in generate-briefing.py
2. Re-run weekly report generation

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File Structure

text

tech-weekly-briefing/
├── SKILL.md                          # This file
├── scripts/
│   ├── generate-briefing.py          # Main script
│   ├── setup-sources.py              # Initial RSS setup
│   └── weekly-cron.sh                # Cron wrapper
├── data/
│   ├── articles_YYYY-MM-DD.json      # Daily fetched articles
│   └── company_data_YYYY-MM-DD.json  # Company categorization
└── assets/
    └── (optional assets)

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Dependencies

• Python 3.10+
• blogwatcher CLI for RSS monitoring
• curl for The Information feed
• Standard libraries: json, re, urllib, subprocess, datetime

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Key Performance Indicators

Metric	Target
Daily fetch success rate	≥95% (6/6 sources)
Article deduplication accuracy	≥90%
Low-quality filter precision	≥85%
Hot news detection (≥2 sources)	Capture all multi-source stories
Report generation time	<30 seconds

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Version History

Version	Date	Changes
1.0.0	2026-03-09	Initial release with 6 sources, bilingual format, company buttons

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Usage Examples

User Request: "生成科技周报"

text

1. Check if data exists: ls data/articles_*.json
2. If no data: Run daily fetch first
3. Run: python3 scripts/generate-briefing.py weekly
4. Send report with inline buttons

User Request: "查看OpenAI新闻"

text

1. Load company_data_*.json
2. Filter OpenAI articles
3. Display with bilingual format

User Request: "添加新公司追踪"

text

1. Edit COMPANY_KEYWORDS in generate-briefing.py
2. Add: "CompanyName": ["keyword1", "keyword2"]
3. Re-run weekly report

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Last Updated: 2026-03-09 Maintainer: OpenClaw Agent Status: Production Ready